ICEpop CAPability Measure For Adults Research Articles

Effectiveness of the Assessment of Burden of Chronic Conditions (ABCC)-tool in patients with asthma, COPD, type 2 diabetes mellitus, and heart failure: A pragmatic clustered quasi-experimental study in the Netherlands

Background The Assessment of Burden of Chronic Conditions (ABCC)-tool was developed to optimise chronic care. Objectives This study aimed to assess the effectiveness of the ABCC-tool in patients with COPD, asthma, type 2 diabetes, and/or heart failure in primary care in the Netherlands. Methods The study had a pragmatic, clustered, two-armed, quasi-experimental design. The intervention group (41 general practices; 176 patients) used the ABCC-tool during routine consultations and the control group (14 general practices; 61 patients) received usual care. The primary outcome was a change in perceived quality of care (PACIC; Patient Assessment of Chronic Illness Care) after 18 months. Secondary outcomes included change in the PACIC after 6 and 12 months, and in quality of life (EQ-5D-5L; EuroQol-5D-5L), capability well-being (ICECAP-A; ICEpop CAPability measure for Adults), and patients’ activation (PAM; Patient Activation Measure) after 6, 12, and 18 months for the total group and conditions separately. Results We observed a significant difference in the PACIC after 6, 12, and 18 months (18 months: 0.388 points; 95%CI: 0.089–0.687; p = 0.011) for the total group and after 6 and 12 months for type 2 diabetes. After 18 months, we observed a significant difference in the PAM for the total group but not at 6 and 12 months, and not for type 2 diabetes. All significant effects were in favour of the intervention group. No significant differences were found for the EQ-5D-5L and the ICECAP-A. Conclusion Use of the ABCC-tool has a positive effect on perceived quality of care and patients’ activation, which makes the tool ready for use in clinical practice. Healthcare providers (e.g. general practitioners and practice nurses) can use the tool to provide person-centred care. Trial registration number: ClinicalTrials.gov Registry (NCT04127383).

From Health to Wellbeing: Toward a Monetary Valuation of a Wellbeing-Adjusted Life-Year

ObjectivesEconomic evaluations using broader measures to capture benefits beyond improved health can inform policy making, but only if the monetary value of gains measured using these instruments is understood. This study explored contingent valuation as a method to estimate the monetary value of a wellbeing-adjusted life-year (WALY) as measured by ICEpop Capability Measure for Adults (ICECAP-A). MethodsIn a large online survey of representative samples from 7 European countries, participants valued a change in the ICECAP-A from their current health state to a randomly assigned hypothetical state. Participants were instructed that an unspecified treatment could avoid a loss or produce a gain in wellbeing and were asked for their willingness to pay (WTP) for this treatment. WTP per WALY was calculated using an aggregated approach that used ICECAP-A tariffs from the United Kingdom. ResultsWe analyzed a sample of 7428 observations, focusing on avoided losses (n = 6002) because the results for gains were not theoretically valid. Different cutoff points for a marginal change were explored. Depending on the definition of a marginal change, WTP per WALY averaged between €13 323.28 and €61 375.63 for avoided losses between [0, 0.5] and [0, 0.1], respectively, for 1 month. Mean WTP per WALY varied across the countries as follows: Denmark (€17 867.93-€88 634.14), France (€10 278.35-€45 581.28), Germany (€12 119.39-€54 566.56), Italy (€11 753.69-€52 161.25), The Netherlands (€14 612.88-€58 951.74), Spain (€11 904.12-€57 909.17), and United Kingdom (€13 133.75-€68 455.85). ConclusionDespite the inherent limitations of our study, it offers valuable insights into methods for eliciting the WTP for changes in capability wellbeing as measured with ICECAP-A.

Developing primary care services for stroke survivors: the Improving Primary Care After Stroke (IPCAS) research programme

Background It is recognised that longer-term needs after stroke may not be well addressed by current services. The aim of this programme of research was to develop a novel primary care model to address these needs and to evaluate this new approach. Objectives The work was divided into three workstreams: development of a primary care model development of a ‘Managing Life After Stroke’ programme (including self-management) for people with stroke evaluation of the effectiveness and cost effectiveness of these interventions. Design The development of the primary care model involved information gathering in the form of literature reviews, patient and public involvement workshops, qualitative studies (interviews and focus groups), a consensus study and a pilot study, all feeding into a multidisciplinary intervention development group that approved the final primary care model. In parallel, a further literature review, consultation workshops with healthcare professionals and patients and public involvement fed into the iterative development of the ‘My Life After Stroke’ programme. In the final phase of the programme, the two interventions were evaluated in a cluster randomised controlled trial, which included a process evaluation and within-trial cost-effectiveness analysis. Setting General practices in the East of England and East Midlands. Participants People with a history of stroke identified from general practice stroke registers. Interventions The Improving Primary Care After Stroke model of primary care delivery. This comprised five components: a structured review; a direct point of contact; improving communication between primary and secondary care; local service mapping; and training of primary care professionals. The ‘My Life After Stroke’ self-management programme for people with stroke comprised an initial individual session, four weekly group-based sessions and a final individual session. Main outcome measures The coprimary end points for the trial were two subscales (emotion and participation) of the Stroke Impact Scale v3.0 at 12 months after randomisation. Secondary outcomes included the Stroke Impact Scale Short Form, the EuroQol-5 Dimension, five level questionnaire, the ICEpop CAPability measure for Adults, the Southampton Stroke Self-Management Questionnaire and the Health Literacy Questionnaire. Data sources General practice records for health economic costing data. Patient questionnaires for outcomes. Results Trial: 46 clusters (general practices) were randomised with 1040 participants. At 12 months, there was a 0.64 (97.5% confidence interval −1.7 to +2.8) improvement in the emotion outcome in the intervention arm compared to the control arm and a 1.3 (97.5% confidence interval −2.0 to +4.6) increase in the participation outcome in the intervention arm compared to control. There was also no evidence of effect of the intervention on short form Stroke Impact Scale, quality of life (EuroQol 5 Dimension 5 level questionnaire), well-being (ICEpop CAPability measure for Adults), Southampton Stroke Self-Management questionnaire or health literacy (Health Literacy Questionnaire). Process evaluation: over 80% of participants received a review. Only a third of patients attended the ‘My Life After Stroke’ course. The direct point of contact service was hardly used. The local directory of services had variable take-up by healthcare professionals. It did not prove possible to support improved communication between primary and secondary care as originally intended. Training fidelity was high. Cost-effectiveness analysis: the intervention increased primary care workload and was associated with a non-significant, higher quality-adjusted life-year at 12 months. The incremental cost per quality-adjusted life-year was £20,863. Limitations There were differences in age, sex and proportion of people from minority ethnic groups in the trial population as compared to a typical general practice stroke register. Uptake of the intervention was variable. Ceiling effects were observed in the primary outcome measure. Follow-up was limited to 12 months. Conclusions This programme of research has reaffirmed the importance of addressing longer-term needs of people after stroke in the community. The most commonly expressed need is fatigue. The primary care model that we developed was not effective at addressing these needs. Our qualitative findings suggest that an intervention focused on patients earlier after their stroke or one which is more intensive might be effective. There was a mismatch between the needs reported by stroke survivors and evidence available for how to address these needs. Future work Research to inform who should be offered poststroke assessment of needs in the community in the longer term (after 6 months). Development and evaluation of interventions to address fatigue, low mood and cognitive problems in people with stroke in the community. Study registration This study is registered as PROSPERO 2015 CRD42015026602. Trial registration This trial is registered as ISRCTNCT03353519. Funding This award was funded by the National Institute for Health and Care Research (NIHR) Programme Grants for Applied Research programme (NIHR award ref: PTC-RP-PG-0213-20001) and is published in full in Programme Grants for Applied Research; Vol. 12, No. 1. See the NIHR Funding and Awards website for further award information.

Formulation of a Mapping Formula to Estimate Well-Being Utility from Clinical Subjective Well-Being Scales.

Cost-effective analysis is one of the most useful analyses for political decision-making in medicine under a limited budget. Although the data of the ICEpop CAPability measure for Adults (ICECAP-A) is sometimes essential for the measurement of cost effectiveness, such data are often lacking in most clinical trials. Therefore, a conversion formula (ie mapping) derived from the values of clinical assessment scales into utility is required. We used an internet survey where 500 general residents were asked to fill in four kinds of self-reported questionnaires [ICECAP-A, the Satisfaction with Life Scale (SWLS), Flourishing Scale (FS), and the Scale of Positive and Negative Experience (SPANE)]. A beta regression was conducted with the utility assessed by ICECAP-A as a dependent variable. We developed several mapping formulae depending on available questionnaires. These mapping formulae were well-validated in our validation sample. The models using a greater number of questionnaires tended to show better mapping. The mapping function of our formula was within the range of other reported mapping studies. We believe this formula is useful for cost effective analyses of several trials where utility data are lacking.

Quality of life in older adults with chronic kidney disease and transient changes in renal function: Findings from the Oxford Renal cohort.

BackgroundQuality of life (QoL) is an important measure of disease burden and general health perception. The relationship between early chronic kidney disease (CKD) and QoL remains poorly understood. The Oxford Renal Study (OxRen) cohort comprises 1063 adults aged ≥60 years from UK primary care practices screened for early CKD, grouped according to existing or screen-detected CKD diagnoses, or biochemistry results indicative of reduced renal function (referred to as transient estimated glomerular filtration rate (eGFR) reduction).ObjectivesThis study aimed to compare QoL in participants known to have CKD at recruitment to those identified as having CKD through a screening programme.MethodsHealth profile data and multi-attribute utility scores were reported for two generic questionnaires: 5-level EuroQol-5 Dimension (EQ-5D-5L) and ICEpop CAPability measure for Adults (ICECAP-A). QoL was compared between patients with existing and screen-detected CKD; those with transient eGFR reduction served as the reference group in univariable and multivariable linear regression.ResultsMean and standard deviation utility scores were not significantly different between the subgroups for EQ-5D-5L (screen-detected:0.785±0.156, n = 480, transient:0.779±0.157, n = 261, existing CKD:0.763±0.171, n = 322, p = 0.216) or ICECAP-A (screen-detected:0.909±0.094, transient:0.904±0.110, existing CKD:0.894±0.115, p = 0.200). Age, smoking status, and number of comorbidities were identified as independent predictors of QoL in this cohort.ConclusionQoL of participants with existing CKD diagnoses was not significantly different from those with screen-detected CKD or transient eGFR reduction and was similar to UK mean scores for the same age, suggesting that patient burden of early CKD is minor. Moreover, CKD-related comorbidities contribute more significantly to disease burden in earlier stages of CKD than renal function per se. Larger prospective studies are required to define the relationship between QoL and CKD progression more precisely. These data also confirm the essentially asymptomatic nature of CKD, implying that routine screening or case finding are required to diagnose it.

A prospective randomised controlled mixed-methods pilot study of home monitoring in adults with cystic fibrosis.

Background:Home monitoring (HM) is able to detect more pulmonary exacerbations (PEx) than routine care (RC) in individuals with cystic fibrosis (CF), but there is currently no evidence for benefits in health outcomes. Patient experiences of using HM and a health economics assessment have not been rigorously assessed to date. This study aimed to assess the effects of HM on hospital admissions, quality of life, antibiotic requirements, exacerbation frequency, lung function, nutritional outcomes, anxiety, depression, costs and health outcomes, as well as the qualitative effects on the patient experience.Methods:This randomised controlled mixed-methods pilot study recruited CF adults cared for in one large regional CF centre. Participants were randomly allocated 1:1 to the intervention cohort [twice-weekly HM of symptoms measured by the Cystic Fibrosis Respiratory Symptom Diary – Chronic Respiratory Infection Symptom Score (CFRSD-CRISS) and forced expiratory volume in one second (FEV1)] or a control cohort (routine clinical care) for the 12-month study period. Measurements were recorded at study visits at baseline, 3, 6, 9 and 12 months. Spirometry, body weight, comorbidities, medications, hospital inpatient days, courses of antibiotics (oral and intravenous) and PEx (defined by the modified Fuchs criteria) were recorded at each study visit. Health status, capability and cost-effectiveness were measured at each study visit by the Hospital Anxiety and Depression Scale (HADS), the ICEpop CAPability measure for Adults (ICECAP-A), EuroQol 5 dimensions (EQ-5D-5L) questionnaire and an adapted resource use questionnaire. The patient experience of HM was assessed by semi-structured qualitative interviews at baseline and 12 months.Results:Eighty-eight participants were recruited, with 44 (50%) randomised to receive HM and 44 (50%) randomised to receive RC. Patient hospital inpatient bed days per annum and overall health-related quality of life were similar between the groups. Protocol-defined PEx requiring intravenous and oral antibiotics were detected more frequently in the HM group, with no other differences between the groups in the secondary outcomes. The total mean National Health Service (NHS) costs were approximately £1500 more per patient for the RC arm than the HM group. The qualitative analysis demonstrated that the patient experience of HM was generally positive and overall the intervention was well accepted.Conclusion:The findings of this trial confirm that HM is effective in detecting PEx in adults with CF. There were no significant differences in hospital inpatient bed days and overall health-related quality of life between the groups. Despite the cost of the HM equipment and the salary of the research fellow to respond to the results, health economics analysis suggests the intervention was less expensive than RC. HM was generally well accepted, with most participants reporting that it resulted in them feeling more empowered and reassured.Trial registrationThe study protocol was registered with Clinicaltrials.gov (NCT02994706) on 16 July 2014 and published in a peer reviewed journal.Data from this trial has been presented in abstract form at the ECFS Conference in Lyon in September 2020.

The ICEpop Capability Measure for Adults Instrument for Capabilities: Development of a Tariff for the Dutch General Population

ObjectivesThe ICEpop Capability Measure for Adults (ICECAP-A) assesses 5 capabilities (stability, attachment, autonomy, achievement, and enjoyment) that are important to one’s quality of life and might be an important addition to generic health questionnaires currently used in economic evaluations. This study aimed to develop a Dutch tariff of the Dutch translation of the ICECAP-A. MethodsThe methods used are similar to those used in the development of the UK tariff. A profile case best–worst scaling task was presented to 1002 participants from the general Dutch population. A scale-adjusted latent class analysis was performed to test for preferences of ICECAP-A capabilities and scale heterogeneity. ResultsA 3-preference class 2-scale class model with worst choice as scale predictor was considered optimal and was used to calculate the resulting tariff. Results indicated that the capabilities stability, attachment, and enjoyment were considered more important aspects of quality of life than autonomy and achievement. Additionally, improving capabilities from low to moderate levels had a larger effect on quality of life than improving capabilities that were already at a higher level. ConclusionsThe ICECAP-A tariffs found in this study could be used in economic evaluations of healthcare interventions in The Netherlands.

The ICECAP-A instrument for capabilities: assessment of construct validity and test\u2013retest reliability in a general Dutch population

PurposeThe ICEpop CAPability measure for Adults (ICECAP-A) assesses five capabilities that are important to one’s well-being. The instrument might be an important addition to generic health questionnaires when evaluating quality of life extending beyond health. This study aimed to conduct a psychometric assessment of the Dutch translation of the ICECAP-A.MethodsConstruct validity of the instrument was assessed in two ways. First, by measuring correlations with the EQ-5D-5L questionnaire and a measure of self-efficacy and, second, by investigating the ability to distinguish between groups known to differ on the construct the ICECAP-A means to capture. Additionally, test–retest reliability was evaluated.ResultsIn total, 1002 participants representative of the general Dutch population completed an online survey. For test–retest reliability, 252 participants completed the same questionnaire 2 weeks later. The ICECAP-A indicated moderate to strong correlations with the EQ-5D-5L and a strong correlation with self-efficacy. Furthermore, it was capable of differentiating known groups. Moreover, results indicated adequate test–retest reliability with an intraclass correlation coefficient of 0.79.ConclusionIn summary, results suggest adequate test–retest reliability and construct validity and indicate that the ICECAP-A might be of added value, especially when considering areas outside of the traditional health intervention model.

Development of Population Tariffs for the ICECAP-A Instrument for Hungary and their Comparison With the UK Tariffs

ObjectivesThe ICEpop CAPability measure for Adults (ICECAP-A) was developed to assess the capability well-being of adults for use in economic evaluations. Currently, ICECAP-A tariffs are available only for the UK population. The objectives of this study were to develop a Hungarian tariff set for the ICECAP-A instrument and to explore intercountry differences between the Hungarian and the UK value sets. MethodsA survey was conducted by computer-assisted personal interviews on a sample representative of the Hungarian adult population (N = 1000) to elicit their preferences regarding ICECAP-A attributes with the use of a best-worst scaling choice task. A latent class multinomial logit model with continuous variance scale was used to estimate the weights for each of the 4 capability levels of all 5 ICECAP-A attributes, namely, attachment, stability, achievement, enjoyment, and autonomy. ResultsThe model identified 2 preference classes with approximately equal share. The first class had a stronger relative preference for autonomy and achievement, whereas the second class had a strong preference for attachment. Multivariate analysis of the classes revealed that women, pensioners, people who are married or living in a partnership, and people with poorer health status are characteristics associated with the latter class membership (preference for attachment). Population tariffs were estimated from the model. Overall, attachment was found to be the most important attribute, followed by stability, enjoyment, achievement, and autonomy. ConclusionsHungarian tariffs are largely consistent with those found for the United Kingdom; nevertheless, autonomy seems to be less important in Hungary compared with the United Kingdom.

Measuring health-related quality of life and well-being: a head-to-head psychometric comparison of the EQ-5D-5L, ReQoL-UI and ICECAP-A.

ObjectiveThis study aimed to assess the psychometric properties of three generic preference-based measures and compare their performance in a sample of Hong Kong general population.MethodsData used for this analysis were obtained from a cross-sectional telephone-based survey in July 2020. Participants were asked to complete several measures, including The EuroQol five-dimensional five levels (EQ-5D-5L), Recovering Quality of Life-Utility Index (ReQoL-UI) and ICEpop CAPability measure for adults (ICECAP-A). Acceptability, reliability, convergent and discriminant validity of three measures were assessed as well as the agreement between these instruments.ResultsBased on data from 500 participants to the survey, a lower mean score of the ICECAP-A (mean = 0.85) was observed compared to the other two measures (meanReQoL-UI = 0.92; meanEQ-5D-5L = 0.92). All three measures showed an acceptable internal consistency reliability (Cronbach’s alpha = 0.74, 0.82 and 0.77, respectively) as well as good test–retest reliability (intra-class correlation coefficient = 0.74, 0.82 and 0.77, respectively). Correlation analyses confirmed satisfactory convergent validity and the ability of the measures to differentiate between participants with different health or from socioeconomic status groups. The Bland–Altman plot revealed poor agreement between the three measures.ConclusionsThis study confirmed that EQ-5D-5L, ReQoL-UI and ICECAP-A were psychometrically robust to measure HRQoL in the general HK population. The EQ-5D-5L was more suitable for assessing physical HRQoL, whereas the ICECAP-A and ReQoL-UI were more appropriate for measuring interventions aimed at improving people’s well-being and mental health.

Psychometric Validation and Cultural Adaptation of the Simplified Chinese eHealth Literacy Scale: Cross-Sectional Study

BackgroundThe rapid proliferation of web-based information on health and health care has profoundly changed individuals’ health-seeking behaviors, with individuals choosing the internet as their first source of information on their health conditions before seeking professional advice. However, barriers to the evaluation of people’s eHealth literacy present some difficulties for decision makers with respect to encouraging and empowering patients to use web-based resources.ObjectiveThis study aims to examine the psychometric properties of a simplified Chinese version of the eHealth Literacy Scale (SC-eHEALS).MethodsData used for analysis were obtained from a cross-sectional multicenter survey. Confirmatory factor analysis (CFA) was used to examine the structure of the SC-eHEALS. Correlations between the SC-eHEALS and ICEpop capability measure for adults (ICECAP-A) items and overall health status were estimated to assess the convergent validity. Internal consistency reliability was confirmed using Cronbach alpha (α), McDonald omega (ω), and split-half reliability (λ). A general partial credit model was used to perform the item response theory (IRT) analysis. Item difficulty, discrimination, and fit were reported. Item-category characteristic curves (ICCs) and item and test information curves were used to graphically assess the validity and reliability based on the IRT analysis. Differential item functioning (DIF) was used to check for possible item bias on gender and age.ResultsA total of 574 respondents from 5 cities in China completed the SC-eHEALS. CFA confirmed that the one-factor model was acceptable. The internal consistency reliability was good, with α=0.96, ω=0.92, and λ=0.96. The item-total correlation coefficients ranged between 0.86 and 0.91. Items 8 and 4 showed the lowest and highest mean scores, respectively. The correlation coefficients between the SC-eHEALS and ICECAP-A items and overall health status were significant, but the strength was mild. The discrimination of SC-eHEALS items ranged between 2.63 and 5.42. ICCs indicated that the order of categories’ thresholds for all items was as expected. In total, 70% of the information provided by SC-eHEALS was below the average level of the latent trait. DIF was found for item 6 on age.ConclusionsThe SC-eHEALS has been demonstrated to have good psychometric properties and can therefore be used to evaluate people’s eHealth literacy in China.

Effectiveness and cost-effectiveness of the Assessment of Burden of Chronic Conditions (ABCC) tool in patients with COPD, asthma, diabetes mellitus type 2 and heart failure: protocol for a pragmatic clustered quasi-experimental study

IntroductionThe number of people that have one or multiple condition(s) with a chronic course is rising, which consequently challenges healthcare systems. Healthcare geared to long-term care should focus on patient-centredness,...

Development and psychometric evaluation of the Transdiagnostic Decision Tool: matched care for patients with a mental disorder in need of highly specialised care.

Early identification of patients with mental health problems in need of highly specialised care could enhance the timely provision of appropriate care and improve the clinical and cost-effectiveness of treatment strategies. Recent research on the development and psychometric evaluation of diagnosis-specific decision-support algorithms suggested that the treatment allocation of patients to highly specialised mental healthcare settings may be guided by a core set of transdiagnostic patient factors. To develop and psychometrically evaluate a transdiagnostic decision tool to facilitate the uniform assessment of highly specialised mental healthcare need in heterogeneous patient groups. The Transdiagnostic Decision Tool was developed based on an analysis of transdiagnostic items of earlier developed diagnosis-specific decision tools. The Transdiagnostic Decision Tool was psychometrically evaluated in 505 patients with a somatic symptom disorder or post-traumatic stress disorder. Feasibility, interrater reliability, convergent validity and criterion validity were assessed. In order to evaluate convergent validity, the five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) and the ICEpop CAPability measure for Adults (ICECAP-A) were administered. The six-item clinician-administered Transdiagnostic Decision Tool demonstrated excellent feasibility and acceptable interrater reliability. Spearman's rank correlations between the Transdiagnostic Decision Tool and ICECAP-A (-0.335), EQ-5D-5L index (-0.386) and EQ-5D-visual analogue scale (-0.348) supported convergent validity. The area under the curve was 0.81 and a cut-off value of ≥3 was found to represent the optimal cut-off value. The Transdiagnostic Decision Tool demonstrated solid psychometric properties and showed promise as a measure for the early detection of patients in need of highly specialised mental healthcare.

PMS1 MUSCULOSKELETAL HEALTH AND CAPABILITY OF WELL-BEING MEASURED BY THE ICECAP-A AND -ICECAP-O INSTRUMENTS

To explore the capability of well-being of individuals with musculoskeletal (MSK) health problems in the general population as measured by the ICEpop CAPability measure for Adults (ICECAP-A) / Older people (ICECAP-O). A cross-sectional computer-assisted personal interview survey was performed in 2019 involving a representative sample of the Hungarian population. ICECAP-A and ICECAP-O was applied for age groups 18-64 and 65 and older, respectively. MSK problems were assessed by the Health Assessment Questionnaire Disability Index (HAQ-DI), EQ-5D-5L and by the relevant questions (walking problems, self-reported MSK diagnosis) of the European Health Interview Survey. Subgroup comparisons were carried out by ANOVA tests and Pearson’s correlation coefficients were calculated between continuous variables. Ordinary least square regression analyses were performed to explore the determinants of well-being capabilities. Altogether 1568 (mean age 41.6) and 453 (mean age 73.3) respondents participated in the two age-groups. The average ICECAP-A/-O scores were 0.894 (SD=0.126) and 0.828 (SD=0.150), and the mean HAQ-DI scores were 0.052 (SD=0.253) and 0.463 (SD=0.586), respectively. Correlations between the HAQ-DI score and both ICECAP-A/-O scores were moderate, but it was bordering to high in the case of ICECAP-O. Both the ICECAP-A/-O index scores differed significantly across subgroups defined by self-reported MSK health problems. Also, both ICECAP-A/-O scores were lower in the subgroup with self-reported MSK diagnosis. HAQ-DI showed similar tendency, especially in hip and knee arthrosis. Regression results indicated that HAQ-DI scores were significantly (negatively) associated with ICECAP-A/-O scores. However, when EQ-5D-5L index and EQ VAS were included in the models, the HAQ-DI score was no longer significant. Individuals with MSK health problems have significantly worse well-being capabilities than those without. The HAQ-DI index can be used as a proxy to estimate ICECAP-A and ICECAP-O scores in case of lack of data, however the EQ-5D-5L performs better for that purpose.

Cross-Cultural Adaptation and Psychometric Analysis of the Persian Version of the ICEpop CAPability Measure for Adults Capability Measure in the Iranian General Population

ObjectivesThe ICEpop CAPability measure for adults (ICECAP-A) is a measure of capability well-being for adults and, by focusing on more than health, can extend the evaluative space of economic evaluations. The aim of this study was to translate and culturally adapt the ICECAP-A questionnaire into Persian to assess the construct validity and reliability of the ICECAP-A in the Iranian general population. MethodsIn this study, we followed Beaton’s guidelines for cross-cultural adaptation of self-report measures. The questionnaire was administered to a sample of 1200 members of the general population using a stratified probability sampling method. The construct validity and reliability of the ICECAP-A were evaluated in relation to the EuroQol 5-dimension questionnaire (EQ-5D-5L). ResultsAfter translating and adapting the questionnaire, the term “being settled” was changed to “stability” for the Iranian cultural context. A moderate correlation (r = 0.48) was found between the ICECAP-A and EQ-5D-5L index scores, and the ICECAP-A scores showed differences across different health and socio-economic groups. The results of the exploratory factor analysis indicated that the 2 instruments measured 2 different constructs. In terms of reliability, the internal consistency of the measure using Cronbach’s alpha was found to be 0.82 and for test–retest reliability, the intraclass correlation coefficient (ICC) was found to be 0.90 for total scores. ConclusionsThe results of this study suggest that the Persian version of the ICECAP-A is a valid and reliable questionnaire and can complement EQ-5D measures already used in Iran.

Improving Primary Care After Stroke (IPCAS) trial: protocol of a randomised controlled trial to evaluate a novel model of care for stroke survivors living in the community

IntroductionSurvival after stroke is improving, leading to increased demand on primary care and community services to meet the long-term care needs of people living with stroke. No formal primary care-based...

Singing for people with aphasia (SPA): a protocol for a pilot randomised controlled trial of a group singing intervention to improve well-being

IntroductionThe singing for people with aphasia (SPA) intervention aims to improve quality of life and well-being for people with poststroke aphasia. A definitive randomised controlled trial (RCT) is required to...

Using path analysis to investigate the relationships between standardized instruments that measure health-related quality of life, capability wellbeing and subjective wellbeing: An application in the context of spinal cord injury

While economic evaluations typically embrace health maximization as the maximization objective using quality-adjusted life years, there is increasing interest in the measurement of capability wellbeing and subjective wellbeing (SWB) for informing policy decisions. The objective of this study was to investigate the relationships between health-related quality of life (HRQoL), capability wellbeing and SWB. Data were used from 364 individuals living with spinal cord injury (SCI) who previously completed a web-based, cross-sectional survey (March–June 2013). Regression analyses were used to study the impacts of secondary health conditions on HRQoL, capability wellbeing and SWB; subsequently, a path analysis was used to assess direct and mediated pathways. HRQoL was measured using the EQ-5D-5L and the Assessment of Quality of Life 8-dimension (AQoL-8D) questionnaire; capability wellbeing was assessed using the ICEpop CAPability measure for Adults (ICECAP-A), and SWB was based on a single life satisfaction item (0–10 rating scale). Mean scores were 0.492, 0.573, 0.761 and 6.319 for EQ-5D-5L, AQoL-8D, ICECAP-A and SWB, respectively. Beta coefficients from the regression analyses indicated that secondary health conditions had the greatest negative impact on individuals' HRQoL (βAQoL-8D = −0.668, βEQ-5D-5L = −0.542), followed by SWB (βSWB = −0.481) and capability wellbeing (βICECAP-A = −0.477). Capability wellbeing mediated the effect of secondary health conditions on HRQoL and SWB. The indirect effect of secondary health conditions on SWB through HRQoL was not statistically significant when using EQ-5D-5L; indirect effects were found when using AQoL-8D, one through HRQoL only and one through both capability wellbeing and HRQoL. This study highlights the different impacts of secondary health conditions on HRQoL, capability and SWB in the context of SCI. While the greatest impact was observed on individuals' HRQoL, our results provide further evidence that capability wellbeing (here, the ICECAP-A) adds complementary information about outcomes that could be used in economic evaluation.

Predicting health-related quality of life (EQ-5D-5\xa0L) and capability wellbeing (ICECAP-A) in the context of opiate dependence using routine clinical outcome measures: CORE-OM, LDQ and TOP

BackgroundEconomic evaluation normally requires information to be collected on outcome improvement using utility values. This is often not collected during the treatment of substance use disorders making cost-effectiveness evaluations of therapy difficult. One potential solution is the use of mapping to generate utility values from clinical measures. This study develops and evaluates mapping algorithms that could be used to predict the EuroQol-5D (EQ-5D-5 L) and the ICEpop CAPability measure for Adults (ICECAP-A) from the three commonly used clinical measures; the CORE-OM, the LDQ and the TOP measures.MethodsModels were estimated using pilot trial data of heroin users in opiate substitution treatment. In the trial the EQ-5D-5 L, ICECAP-A, CORE-OM, LDQ and TOP were administered at baseline, three and twelve month time intervals. Mapping was conducted using estimation and validation datasets. The normal estimation dataset, which comprised of baseline sample data, used ordinary least squares (OLS) and tobit regression methods. Data from the baseline and three month time periods were combined to create a pooled estimation dataset. Cluster and mixed regression methods were used to map from this dataset. Predictive accuracy of the models was assessed using the root mean square error (RMSE) and the mean absolute error (MAE). Algorithms were validated using sample data from the follow-up time periods.ResultsMapping algorithms can be used to predict the ICECAP-A and the EQ-5D-5 L in the context of opiate dependence. Although both measures can be predicted, the ICECAP-A was better predicted by the clinical measures. There were no advantages of pooling the data. There were 6 chosen mapping algorithms, which had MAE scores ranging from 0.100 to 0.138 and RMSE scores ranging from 0.134 to 0.178.ConclusionIt is possible to predict the scores of the ICECAP-A and the EQ-5D-5 L with the use of mapping. In the context of opiate dependence, these algorithms provide the possibility of generating utility values from clinical measures and thus enabling economic evaluation of alternative therapy options.Trial registrationISRCTN22608399. Date of registration: 27/04/2012. Date of first randomisation: 14/08/2012.

An Investigation of the Overlap Between the ICECAP-A and Five Preference-Based Health-Related Quality of Life Instruments.

The ICEpop CAPability measure for Adults (ICECAP-A) is a measure of capability wellbeing developed for use in economic evaluations. It was designed to overcome perceived limitations associated with existing preference-based instruments, where the explicit focus on health-related aspects of quality of life may result in the failure to capture fully the broader benefits of interventions and treatments that go beyond health. The aim of this study was to investigate the extent to which preference-based health-related quality of life (HRQoL) instruments are able to capture aspects of capability wellbeing, as measured by the ICECAP-A. Using data from the Multi Instrument Comparison project, pairwise exploratory factor analyses were conducted to compare the ICECAP-A with five preference-based HRQoL instruments [15D, Assessment of Quality of Life 8-dimension (AQoL-8D), EQ-5D-5L, Health Utilities Index Mark 3 (HUI-3), and SF-6D]. Data from 6756 individuals were used in the analyses. The ICECAP-A provides information above that garnered from most commonly used preference-based HRQoL instruments. The exception was the AQoL-8D; more common factors were identified between the ICECAP-A and AQoL-8D compared with the other pairwise analyses. Further investigations are needed to explore the extent and potential implications of 'double counting' when applying the ICECAP-A alongside health-related preference-based instruments.